Quality testing is the business intelligence process that involves checking data for defects in order to prevent system failures.
Completeness is a quality testing step that involves confirming that the data contains all desired measures or components.
Their goal is to achieve data accuracy, completeness, consistency, and trustworthiness. These are the key considerations of data integrity. Explanation: They aim to achieve data accuracy, completeness, consistency, and trustworthiness. These are the key considerations of data integrity.
What is the business intelligence process that involves checking data for defects in order to prevent system failures?
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